Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
5,876 detections
Filters
Last updated
All Time
Detection languages
2,951
1,378
313
289
239
Contributors
1,807
1,529
1,304
180
173
Categories
20,456
11,839
5,876
5,155
4,865
Platforms
3,744
1,857
1,076
782
160
Products / Services
2,238
1,434
1,273
746
582
MITRE Techniques
2,448
2,148
1,129
937
787
CVEs
19
15
9
7
5
IDS Classtypes
834
334
94
23
20
IDS Protocols
689
276
235
117
23
Detects network connections to the Telegram API (api.telegram.org) from processes identified as LOLBins or residing in suspicious, potentially writable locations such as Temp, AppData, or user-defined directories. This activity is often indicative of C2 communication or data exfiltration by malware bypassing standard messaging client restrictions.
This rule detects potentially unauthorized or suspicious outbound network connections to common Generative AI service APIs (OpenAI, Anthropic, Mistral) originating from command-line interpreters (cmd.exe, powershell.exe) or python.exe instances running from temporary directories, which could indicate data exfiltration or the use of AI tools for malicious automation.
Detects instances where a non-standard browser process accesses sensitive browser credential files (e.g., Login Data, Cookies, key4.db) and simultaneously establishes a network connection to Discord or transmits data to a Discord webhook. This pattern is consistent with infostealer malware attempting to exfiltrate cached credentials via external services.
This rule detects outbound network connections to common webhook and temporary storage services (e.g., discord.com webhooks, webhook.site, pipedream.net) initiated by processes other than standard web browsers. Such behavior is often indicative of automated data exfiltration, command-and-control (C2) communication, or malicious script activity using these services to bypass traditional network defenses.
This rule monitors for suspicious Linux kernel operations, including the loading of BPF programs via bpftool or system calls, and attempts by debugging or tracing tools to interact with processes using forceful termination signals. It also includes an anomaly detection branch that identifies processes with active network connections that are missing from the system process list, which may indicate process ghosting or hiding techniques.
Detects the unauthorized exfiltration of SSL private key files using Netcat to a known malicious C2 IP address (62.171.185.97). The rule monitors process execution commands that include specific file names associated with certificate harvesting or extraction tools being piped or transmitted over the network.
This rule detects scenarios where Microsoft Teams initiates a potential screen-sharing session (via outbound network connections on specific ports) followed shortly by the access of VPN configuration files on the same host. This sequence may indicate an attacker using screen-sharing to view credentials or configuration details and subsequently attempting to utilize a VPN client.
Detects the installation, service creation, registry modification, and network activity associated with the Tailscale VPN tool. This rule monitors for persistent use of Tailscale, which can be utilized by threat actors to establish encrypted mesh access to internal environments.
Detects npm package installation activity or network communication originating from npm-related processes that involve identified malicious packages, maintainers, or scopes associated with supply chain attacks. Specifically monitors for the '@withgoogle' scope squatting, as well as specific malicious package names and maintainer accounts, and tracks related outbound network connections to suspicious C2 domains.
Detects malicious activity associated with npm supply chain compromise, including execution of known malicious npm lifecycle scripts, DNS queries to suspected C2 domains, and unauthorized access to sensitive developer credential files (such as .npmrc, .aws/credentials, and SSH keys) by Node.js processes.
Detects execution of the Tailscale or Tailscaled process that is not initiated by standard system or management processes. This may indicate unauthorized installation or use of the Tailscale VPN software for covert command and control or lateral movement, especially when combined with immediate network activity to Tailscale infrastructure or ports.
Detects the presence and activity of Tailscale VPN, including process execution, command-line arguments, network connections to Tailscale infrastructure, and communications within the Tailscale CGNAT address range (100.64.0.0/10). This rule identifies the potential use of Tailscale for tunneling or remote access, which may be unauthorized in some environments.
Detects modifications to the 'SSLKEYLOGFILE' environment variable in the Windows Registry. This variable is often used by applications like web browsers to log SSL/TLS session keys to a file, which can then be used to decrypt encrypted network traffic. Malicious actors might enable this to capture sensitive data.
This rule detects suspicious network connections made by processes (excluding legitimate EDR processes like mssense.exe and senseir.exe) to URLs commonly associated with EDR command and control (C2) infrastructure. This could indicate an attempt by an adversary to communicate with or manipulate the EDR agent.
Detects instances where rundll32.exe executes with missing or minimal DLL arguments and subsequently establishes outbound network connections. This behavior is uncommon in legitimate Windows operations and has been observed during ACR Stealer infections, including executions originating from remote SMB shares and memory-loaded payloads.
Detects outbound internet communications generated by rundll32.exe, which is uncommon and frequently associated with malware execution, including ACR Stealer.
Detects connections to domains associated with observed ACR Stealer command-and-control infrastructure.
This rule monitors network connections initiated by a process named 'setup.exe' to known malicious or suspicious IP addresses. Legitimate installers should not be initiating network connections to these specific external addresses.
This rule monitors and alerts on network connections established from endpoints to a predefined list of known malicious IP addresses, which may indicate command-and-control (C2) communication or unauthorized exfiltration attempts.
Detects network beaconing activity associated with the SPECTRALVIPER C2 framework. This rule identifies outbound HTTP GET requests targeting known C2 infrastructure domains and IP addresses, while correlating the traffic with specific browser user agents and cookie patterns indicative of this actor.
Detects network connection events initiated by the OneDrive sync process (OneDrive.Sync.Services.exe) to known malicious domains or suspicious specific file paths, which may indicate unauthorized use of the OneDrive process for command-and-control communication or malicious file retrieval.
Page 200 of 280

